Why Nvidia and other AI giants are slipping out of the ‘quality stock’ category

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Two of the market’s most popular quality-focused ETFs have suddenly parted ways on the question at the centre of modern investing: do AI-heavy tech giants still count as stable, high-calibre companies, or are they drifting into riskier territory? The split has led to wildly different returns and an increasingly emotional debate about whether the AI boom represents a long-term profit engine or a costly gamble. The iShares MSCI USA Quality Factor fund continues to hold leading AI names like Nvidia and Microsoft, while Invesco’s S&P 500 Quality ETF has pushed them out. What looks like a technical reshuffle is really an argument about how secure the current AI frenzy truly is, the Wall Street Journal reported.

How Nvidia fell off a quality list

At the core of this divergence is a simple accounting idea: accruals. They measure how much of a company’s earnings come from real cash versus promises of payments in the future. When cash lags behind reported earnings, it can be an early warning sign that growth may not be as robust as it looks. Nvidia’s explosive rise has come with a jump in working capital needs, as the company pays suppliers immediately but waits for customers to settle their bills. Its accounts receivable climbed sharply over the past year, while accounts payable barely moved. For Invesco’s index, which uses accruals as a key test, that imbalance was enough to strip Nvidia of its quality status. Meta, Netflix and Microsoft suffered similar fates as spending surges and deferred earnings grew.

Why other funds still embrace Big Tech

The MSCI index behind the iShares quality ETF takes a more forgiving view. It focuses on steady profitability, and AI giants continue to deliver strong growth by that metric. For MSCI, introducing accruals risked too much turnover and too narrow a definition of quality. Investors in QUAL are essentially betting that Big Tech’s enormous profits and dominant market positions outweigh the risks in their cash cycles. The two approaches reflect contrasting philosophies: one prioritises tight financial discipline, the other sees exceptional growth and earnings power as proof enough of quality.

AI investment mania muddies the picture

The deeper question is whether Big Tech’s AI investments will ultimately pay off. Companies are spending unprecedented sums to stay ahead in the generative-AI race, dedicating vast capital to infrastructure, chips and data centres before any durable revenue model has emerged. Some strategists describe this as the risky phase of innovation, where companies spend first and hope that profits eventually follow. Others argue that the scale of investment is precisely what will cement tech giants’ dominance. Much of Wall Street is divided because history offers an uncomfortable pattern: when companies embark on massive capital-spending waves, their shares often lag in the years that follow.

How investors interpret all this uncertainty

Quality stocks are typically the ones with predictable earnings, strong cash flow and cautious investment habits. AI’s rapid expansion disrupts that profile. Yet it is also true that companies like Nvidia and Microsoft remain extraordinarily profitable, and their spending reflects confidence and ambition rather than distress. Analysts note that these rising accruals are not

the kind associated with manipulation or deeper financial problems. Instead, they reveal the pressure of hyper-growth in a new industry where demand outpaces logistical capacity.

A reminder that quality is not a fixed definition

Ultimately, this disagreement between ETF strategies shows how subjective the idea of “quality” has become in a world driven by technological bets. One approach rewards patience and conviction; the other rewards discipline and caution. With just a handful of companies responsible for a disproportionate share of market gains, the choice to include or exclude them can shift an ETF’s performance dramatically in just months. For investors, the question is less about accounting metrics and more about belief. Is AI a transformative opportunity still in its early innings, or an overheated investment cycle whose payoff is too uncertain? The answer will determine whether Big Tech’s AI champions regain their quality status or drift further away from